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README.md
魚眼カメラは通常、監視、拡張現実、特に自動車アプリケーションにおいて広い視野を得るために使用されます。それが一般的であるにもかかわらず、魚眼画像に対するコンピュータビジョンアルゴリズムを詳細に評価するための公開データセットはほとんどありません。
魚眼自動車データセットWoodScapeは、1906年に魚眼カメラを発明したRobert Woodにちなんで名付けられました。WoodScapeは4台の周辺カメラと9つのタスクから構成され、セグメンテーション、深度推定、3Dバウンディングボックス検出、汚れ検出などが含まれます。10000以上の画像に対して40クラスのインスタンスレベルのセマンティックアノテーションが提供され、100000以上の画像に対して他のタスクのアノテーションが提供されます。私たちは、コミュニティが単なる補正ではなく、魚眼カメラにコンピュータビジョンモデルを適用することを奨励したいと考えています。
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
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